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Aravind Viroju

Full Stack Web Developer • Gurazala, Andhra Pradesh 522415 • a************@gmail.com • +91*******592 • linkedin.com/••••• • drivetube.ai/•••••

Career Objective

Full Stack Web Developer with 0 years of experience building responsive web and desktop applications, UI/UX designs, and AI-integrated prototypes. Hands-on with MERN stack, Node.js/Express, modern frontend frameworks, desktop app tooling, and cloud basics (AWS). Focused on creating secure backend architectures and polished user experiences through end-to-end development and design.

Education

Vignan's Foundation for Science, Technology & Research
B.Tech in Computer Science and Engineering • Andhra Pradesh • 01/2027
Bhashyam IIT-JEE Junior College
Intermediate in MPC • Guntur, 522034 • 01/2023
Oxford High School
10th Standard • Gurazala • 01/2021

Technical Skills

Programming Languages: JavaScript,TypeScript,Python,Java,C,C++,C#,PowerShell,Kotlin,Android Studio
Web Technologies: GraphQL
Frameworks and Libraries: React.js,Next.js,Tailwind CSS,Node.js,Express.js,FastAPI,Django,Spring Boot
Databases: MySQL,MongoDB,PostgreSQL,Redis
Cloud and DevOps: AWS,Docker,CI,CD pipelines
Tools and Methodologies: Git,GitHub,Figma
Frontend: HTML5,CSS3
Architecture: RESTful APIs,Microservices
Desktop and Scripting: .NET Core,WPF,Electron,Windows API,VBScript
UI and UX Design: Adobe XD,Wireframing,Interactive prototyping,User flows
AI and Computer Vision: Gemini API,LLM integration,Computer vision,Machine learning concepts
Core Competencies: Data structures and algorithms,Object-oriented programming,Cybersecurity basics

Projects

Venom AI (Desktop LLM Chat with Privacy Controls)
Tools Used: Gemini API, Windows API, VBScript, PowerShell, LLM integration, Privacy controls
  • Developed a Windows desktop application that provides a direct chat interface to the Gemini LLM, enabling contextual assistant interactions from the desktop environment.
  • Implemented background screen analysis to extract active workflow context for the model while keeping user data local and minimizing required input.
  • Designed and integrated privacy defenses using Windows API flags (WDA_EXCLUDEFROMCAPTURE) and an overlay buffer to reduce exposure to screen-capture tools.
  • Added global keyboard hooks and careful input sanitization to gather relevant user context without persistent screen storage.
  • Automated stealth background launch and update tasks using VBScript and PowerShell scripts to ensure the assistant runs at system boot while preserving system stability.
3D Responsive Portfolios
Tools Used: React.js, Next.js, Responsive design, 3D asset integration, Tailwind CSS
  • Engineered interactive personal portfolio sites integrating advanced 3D visual assets and modern UI patterns for immersive presentation.
  • Built responsive layouts and asset-loading strategies to optimize performance across desktop and mobile browsers.
  • Implemented modular React components and Next.js routing for fast navigation and SEO-friendly structure.
  • Applied Tailwind CSS and utility-driven styling to achieve consistent design and reduce CSS bundle size.
Hand Gesture-Based Smart Classroom Screen Control System
Tools Used: Computer vision, Webcam integration, Gesture detection, Python
  • Designed a hands-free classroom control system using webcam-based hand detection to trigger slide changes and presentation controls.
  • Built gesture recognition pipeline to map detected gestures to presentation actions, removing the need to touch screens or keyboards.
  • Structured the system for low-latency responses suitable for live presentations, focusing on reliability and ease of use.
  • Documented integration approach for future extension to multi-user environments and remote teaching use cases.
3D Smart Car Showroom and Global Vehicle Comparison System
Tools Used: 3D asset integration, Responsive UI, Data-driven comparison tools
  • Built a virtual showroom to present detailed 3D car models with interactive exploration features for users.
  • Developed a comparative analytics module to evaluate pricing and feature differences across countries and brands.
  • Structured UI to surface key vehicle specifications and comparison charts for quick user decision-making.
  • Optimized asset delivery and UI responsiveness to maintain smooth interactions across devices.
Vignan Food Court (Campus Food Ordering Platform)
Tools Used: MERN stack, React.js, Node.js, MongoDB, Responsive UI
  • Developed an online food ordering platform tailored for campus users to browse menus and place orders easily.
  • Implemented RESTful APIs with Node.js/Express to handle orders, menu management, and user sessions.
  • Used MongoDB to model menu items, orders, and user profiles for fast reads and flexible schema evolution.
  • Designed a clean, mobile-first UI to reduce ordering friction and waiting times during peak hours.

Achievements

  • Web application vulnerability testing (basics): Studied fundamentals of web app security and practiced basic vulnerability testing using tools like sqlmap, including SQL injection identification and testing techniques.
  • Python application development and module integration: Built a functional Python application integrating multiple modules and AI tools, gaining practical experience in application design and problem-solving.
  • Responsive websites and desktop application designs: Designed and implemented responsive, user-centric websites and desktop applications using modern frameworks and UI/UX practices.

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